Comparative Study Between PWM and SVPWM Technique For a DFIG-Based Wind Turbine System Controlled By Fuzzy Sliding Mode

  • Habib BENBOUHENNI Ecole Nationale Polytechnique d'Oran Maurice Audin, Oran, Algeria
Keywords: DFIG, FSMC, PWM, SVPWM, FSMC-PWM, FSMC-SVPWM.

Abstract

In this paper, we present a comparative study between pulse width modulation (PWM) and new space vector pulse width modulation (SVPWM) technique in fuzzy sliding mode control (FSMC) of reactive and active power command of a doubly fed induction generator (DFIG) for wind turbines. Two commands approches using FSMC-SVPWM and FSMC-PWM are proposed and compared. The validity of the proposed commands schemes is verified by simulation tests of a DFIG. The reactive power, stator current and active power is determined and compared in the above techniques. The obtained results showed that, the proposed FSMC with SVPWM technique have reactive and active power with low powers ripples and low stator current harmonic distortion than PWM technique.

References

[1] Ardjoun, S. E., Abid, M., “Fuzzy sliding mode control applied to a doubly fed induction generator for wind turbines,” Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 23, pp. 1673-1686, 2015.
[2] Rojin, R. K. “A review of modern controlling technologies in doubly fed induction generators (DFIG),” International Journal of Engineering Sciences & Research Technology, Vol. 2, No. 12, pp. 3441-3446, 2013.
[3] Wu, Y., Yang, W., “Different control strategies on the rotor side converter in DFIG-based wind turbines,” Energy Procedia, Elsevier, Vol. 100, pp. 551-555, 2016.
[4] Shehata, E. G., “Sliding mode direct power control of RSC for DFIGs driven by variable speed wind turbines,” Alexandria Engineering Journal, Vol. 54, pp. 1067-1075, 2015.
[5] Xu, L., Cheng, W., “Torque and reactive power control of a doubly fed induction machine by position sensorless scheme,” IEEE Trans. Ind. Appl, Vol. 31, No. 3, pp. 636-642, 1995.
[6] Muller, S., Deicke, M., De Doncker, R. W., “Doubly fed induction generator systems for wind turbines,” IEEE Ind. Appl. Mag, Vol. 8, No. 3, pp. 26-33, 2002.
[7] Bakouri, A., Mahmoudi, M., Abbou, A., “Intelligent control for doubly fed induction generator connected to the electrical network,” International Journal of Power Electronics and Drive System, Vol. 7, No. 3, pp. 688-700, 2016.
[8] Boudjema, Z., Taleb, R., Djeriri, Y., Yahdou, A., “A novel direct torque control using second order continuous sliding mode of a doubly fed induction generator for a wind energy conversion system,” Turkish Journal of Electrical Engineering & Computer Science, Vol. 25, pp. 965-975, 2017.
[9] Benbouhenni, H., «Direct power control of a DFIG fed by a seven-level inverter using SVM strategy, » International Journal of Smart Grid, Vol. 3, No. 2, pp. 54-62, 2019.
[10] Benbouhenni, H., «Application of five-level NPC inverter in DPC-ANN of doubly fed induction generator for wind power generation systems, » International Journal of Smart Grid, Vol. 3, No. 3, 2019.
[11] Benbouhenni H., Boudjema Z., Belaidi A., «A novel matlab/simulink model of DFIG drive using NSMC method with NSVM strategy, » International Journal of Applied Power Engineering (IJAPE), Vol. 8, No. 3, pp. 221-233, 2019.
[12] Benbouhenni H., Boudjema Z., Belaidi A., « Neuro-second order sliding mode control of a DFIG supplied by a two-level NSVM inverter for wind turbine system, » Iranian Journal of Electrical and Electronic Engineering, Vol. 14, No.4,pp.362-373, 2018.
[13] Ismail, M. M., Bendary, A. F., “Comparative study between two sensorless methods for direct power control of doubly fed induction generator Protection of DFIG wind turbine using fuzzy logic control,” Alexandria Engineering Journal, Vol. 55, pp. 941-949, 2016.
[14] Bouzekri, A., Allaoui, T., Denai, M., Mihoub, Y., “ Artificiel intelligence-based fault tolerant control strategy in wind turbine systems,” International Journal of Renewable Energy Research, Vol. 7, No. 2, pp. 652-659, 2017.
[15] Benbouhenni H., Boudjema Z., Belaidi A., « Indirect vector control of a DFIG supplied by a two-level FSVM inverter for wind turbine system, » Majlesi Journal of Electrical Engineering, Vol. 13, No. 1, pp. 45-54, 2019.
[16] Boudjema, Z., Taleb, R., Yahdou, A., Kahal, H., “High order sliding mode control of a DFIM supplied by to power inverters,” Carpathian Journal of Electronic and Computer Engineering, Vol. 8, No. 1, pp. 23-30, 2015.
[17] Boudjema, Z., Meroufel, A., Djeriri, Y., Bounadja, E., “Fuzzy sliding mode control of a doubly fed induction generator for wind energy conversion,” Carpathian Journal of Electronic and Computer Engineering, Vol. 6, No. 2, pp. 7-14, 2013.
[18] Krim. S., Gdaim, S., Mtibaa, A., Mimouni, M. F., “FPGA contribution in photovoltaic pumping systems: models of MPPT and DTC-SVM algorithms,” International Journal of Renewable Energy Research, Vol. 6, No. 3, pp. 866-879, 2016.
[19] Bekakra, Y., Ben Attous, D., “DFIG sliding mode control driven by wind turbine with using a SVM inverter for improve the quality of energy injected into the electrical grid,” ECTI Transactions on Electrical Eng., Electronics, and Communications, Vol. 11, No. 1, pp. 63-75, 2013.
[20] Singh, S. P., Narasinharaju, B. L., Kumar, N. R., “Performance analysis of AC-DC power converter using PWM techniques,” Energy Procedia, Vol. 14, pp. 880-886, 2012.
[21] Benbouhenni H., Boudjema Z., Belaidi A., «Direct vector control of a DFIG supplied by an intelligent SVM inverter for wind turbine system, » Iranian Journal Of Electrical & Electronic Engineering, Vol. 15, No.1, pp. 45-55, 2019.
[22] Medjber, A., Moualdia, A., Mellit, A., Guessoum, M. A., “Comparative study between direct and indirect vector control applied to a wind turbine equipped with a double-fed asynchronous machine article,” International Journal of Renewable Energy Research, Vol. 3, No. 1, pp. 88-93, 2013.
[23] Amrane, F., Chaiba, A., “A novel direct power control for grid-connected doubly fed induction generator based on hybrid artificial intelligent control with space vector modulation,” Rev. Roum. Sci. Techn.- Electrotechn. Et Energ, Vol. 61, No. 3, pp. 263-268, 2016.
[24] Adjoudj, M., Abid, M., Aissaoui, A., Ramdani, Y., Bounoua, H., “Sliding mode control of a doubly fed induction generator for wind turbines,” Rev. Roum. Sci. Techn.- Electrotechn. Et Energ, Vol. 56, No. 1, pp. 15-24, 2011.
[25] Kerrouche, K. D., Mezouar, A., Boumediene, L., Den Bossche, A. V., “Modeling and lyapunov-designed based on adaptive gain sliding mode control for wind turbines,” Journal of Power Technologies, Vol. 96, No. 2, pp. 124-136, 2016.
[26] Behnamgol, V., Vali, A. R., Mohammadzaman, I., “ Second order sliding mode control with finite time convergence, ” Amirkabir International Journal of Science & Research (Modeling, Identification, Simulation & Control), Vol. 45, No. 2, pp. 41-52, 2013.
[27] Guo, Y., Long, H., “Self organizing fuzzy sliding mode controller for the position control of a permanent magnet synchronous motor drive,” Ain Shams Engineering Journal, Vol. 2, pp. 109-118, 2011.
[28] Rezaei, M. M., Mirsalim, M., “ Improved direct torque control for induction drives based on fuzzy sector theory,” Iranian Journal of Electrical & Electronic Engineering, Vol. 6, No. 2, pp. 110-118, 2010.
[29] Kerboua, A., Abid, M., “Hybrid fuzzy sliding mode control of a doubly-fed induction generator in wind turbines,” Rev. Roum. Sci. Techn.- Electrotechn. Et Energ, Vol. 57, No. 4, pp. 412-421, 2012.
Published
2019-10-26
Section
Articles